-Crop Yield Predictor App
-Crop Health Monitoring App
-Soil Moisture Detection(SMD) App
-Auto-Irrigation Apps
-GroundWater Use Monitoring App
Start a business in Sustainable Engineering
IOT based smart security and monitoring devices for agriculture sneha daise paulson
Agriculture sector being the backbone of the Indian economy deserves security. Security not in terms of resources only but also agricultural products needs security and protection at very initial stage, like protection from attacks of rodents or insects, in fields or grain stores. Such challenges should also be taken into consideration. Security systems which are being used now a days are not smart enough to provide real time notification after sensing the problem. The integration of traditional methodology with latest technology as Internet of Things can lead to agricultural modernization. Keeping this scenario in mind an ‘Internet of Things’ based device have been designed, tested and analyzed which is capable of analyzing the sensed information and then transmitting it to the user. This device can be controlled and monitored from remote location and it can be implemented in agricultural fields, grain stores and cold stores for security purpose. This paper is oriented to accentuate the methods to solve such problems like identification of rodents, threats to crops and delivering real time notification based on information analysis and processing without human intervention. In this device, mentioned sensors and electronic devices are integrated using Python scripts. Based on attempted test cases, we were able to achieve success in 84.8% test cases.
This document proposes a smart farming solution called Farm 2 Mouth (F2M) that uses IoT devices and a cloud platform to monitor the entire food supply chain from farms to consumers. The goal is to promote healthy food by providing quality control, care for the environment, and making the supply chain process visible. F2M would allow farmers, food businesses and consumers to access sensors on farms, track food logistics, and gain awareness about where food comes from using a single cloud platform. The business model would generate revenue from farmers, food companies and consumers. Competitors only focus on parts of the supply chain rather than the whole process.
An internet of things ecosystem for planting of coriander (Coriandrum sativum...IJECEIAES
The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; Coriandrum sativum L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.
The document reports on the results of a risk assessment of 28 popular Apple iOS March Madness apps. It found that 89% of apps with features like Daily Bracket, ESPN and March Madness Live can access device location tracking, while 79% of apps including CBS Sports, Dish and Tournament Challenge can also access location. Additionally, 71% of apps such as CBS Sports, Daily Bracket and March Madness Live are able to access and share data with connected social networks, and 61% of apps including CBS Sports, ESPN and March Madness Live can access the device calendar.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
Design of A REAL TIME Arduino Controlled Wireless Monitoring System for Solar...IJSRD
This document describes the design of a real-time wireless monitoring system for solar power plants using Arduino. The system monitors temperature, humidity, solar irradiation, current generated by solar panels, and battery voltage. An Arduino UNO microcontroller automatically analyzes, processes, displays and saves the data, while an Arduino Wi-Fi shield wirelessly transmits the real-time data to a monitoring center. At the monitoring center, a SQL database saves the data and a web interface displays it, allowing remote monitoring and control of some parameters over the Internet. The system aims to improve solar power utilization and prevent equipment faults by providing accurate performance monitoring.
IOT based smart security and monitoring devices for agriculture sneha daise paulson
Agriculture sector being the backbone of the Indian economy deserves security. Security not in terms of resources only but also agricultural products needs security and protection at very initial stage, like protection from attacks of rodents or insects, in fields or grain stores. Such challenges should also be taken into consideration. Security systems which are being used now a days are not smart enough to provide real time notification after sensing the problem. The integration of traditional methodology with latest technology as Internet of Things can lead to agricultural modernization. Keeping this scenario in mind an ‘Internet of Things’ based device have been designed, tested and analyzed which is capable of analyzing the sensed information and then transmitting it to the user. This device can be controlled and monitored from remote location and it can be implemented in agricultural fields, grain stores and cold stores for security purpose. This paper is oriented to accentuate the methods to solve such problems like identification of rodents, threats to crops and delivering real time notification based on information analysis and processing without human intervention. In this device, mentioned sensors and electronic devices are integrated using Python scripts. Based on attempted test cases, we were able to achieve success in 84.8% test cases.
This document proposes a smart farming solution called Farm 2 Mouth (F2M) that uses IoT devices and a cloud platform to monitor the entire food supply chain from farms to consumers. The goal is to promote healthy food by providing quality control, care for the environment, and making the supply chain process visible. F2M would allow farmers, food businesses and consumers to access sensors on farms, track food logistics, and gain awareness about where food comes from using a single cloud platform. The business model would generate revenue from farmers, food companies and consumers. Competitors only focus on parts of the supply chain rather than the whole process.
An internet of things ecosystem for planting of coriander (Coriandrum sativum...IJECEIAES
The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; Coriandrum sativum L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.
The document reports on the results of a risk assessment of 28 popular Apple iOS March Madness apps. It found that 89% of apps with features like Daily Bracket, ESPN and March Madness Live can access device location tracking, while 79% of apps including CBS Sports, Dish and Tournament Challenge can also access location. Additionally, 71% of apps such as CBS Sports, Daily Bracket and March Madness Live are able to access and share data with connected social networks, and 61% of apps including CBS Sports, ESPN and March Madness Live can access the device calendar.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
Design of A REAL TIME Arduino Controlled Wireless Monitoring System for Solar...IJSRD
This document describes the design of a real-time wireless monitoring system for solar power plants using Arduino. The system monitors temperature, humidity, solar irradiation, current generated by solar panels, and battery voltage. An Arduino UNO microcontroller automatically analyzes, processes, displays and saves the data, while an Arduino Wi-Fi shield wirelessly transmits the real-time data to a monitoring center. At the monitoring center, a SQL database saves the data and a web interface displays it, allowing remote monitoring and control of some parameters over the Internet. The system aims to improve solar power utilization and prevent equipment faults by providing accurate performance monitoring.
The document describes an agricultural machinery monitoring system and a smart greenhouse system. For the agricultural system, it monitors farm equipment operation data like area worked and tillage depth and calculates statistics. The greenhouse system uses IoT sensors to monitor temperature, humidity, light, and other factors and controls the environment automatically to optimize crop growth. Both systems transmit real-time data to cloud-based management platforms and mobile apps for monitoring and analysis.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
This document proposes an IoT-based waste management system to address issues like overflowing dustbins. Sensors would detect fill levels and send alerts. Underground pipes and GPS-enabled trucks optimized for routes would help with waste collection. Real-time monitoring of bin levels and truck locations would improve efficiency. The system aims to save costs and fuel, avoid pollution, create jobs, and optimize waste collection for a cleaner environment.
AppsLib is a mobile application store that saw significant growth between 2011 and 2012, with downloads increasing from 2 billion to 31 billion and applications growing from 14,000 to over 275,000. The number of subscribers also increased substantially over this period from 1 million to over 25 million users.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
Internet of Things ( IOT) in AgricultureAmey Khebade
IOT applications in agriculture allow farmers to more efficiently monitor soil conditions, control irrigation, and track livestock. Sensors can measure soil moisture and temperature to automate irrigation only when needed, reducing water and fertilizer waste. Wireless sensors attached to cows generate health and location data to help farmers. Drones and smart irrigation systems also help optimize crop growth and resource use through remote monitoring and automated controls.
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
This document describes the design and development of an IoT and cloud-based smart farming system for optimal water utilization and better crop yields. The system uses soil moisture sensors to frequently monitor soil moisture levels and uploads the data to the cloud. Based on the soil moisture levels, a motor automatically switches the irrigation on or off to ensure crops are watered only when needed. This reduces human involvement and waste by optimizing water usage according to programmed threshold values. Farmers can access reports on their phone to view farm statistics anytime. The system aims to address issues with traditional irrigation methods and help farmers improve production through smart technology and data-driven water management.
The document discusses the opportunities and challenges of using Internet of Things (IoT) technology in smart agriculture. It describes how IoT can be used to monitor environmental conditions, optimize resource use, and increase crop yields through precision farming. However, most current systems are limited to monitoring and alerts. The document argues that IoT and data science can be used to build predictive systems and time-based forecasts to help address scalability issues and better manage agricultural operations. Key challenges include making solutions affordable and easy to use by farmers.
(1) The document discusses how connecting agriculture to IoT through sensor networks and cloud computing can help farmers monitor crops and share information. (2) It proposes an ontology approach to integrate data collected from multiple sources to overcome semantic heterogeneity issues. (3) The document also describes how wireless sensor networks, IoT, and cloud computing can enable precision agriculture through remote monitoring of soil, crops, and hydrological conditions.
This document lists various online collaboration tools that can be used for agricultural research and education. It provides the names and descriptions of tools for social media sharing (Facebook, Twitter, Flickr, SlideShare), document sharing (Dropbox, Scribd), blogging (Blog), research networking (LinkedIn, ResearchGate), and project management (Asana, Trello). It also discusses tools that use artificial intelligence and internet of things for applications like plant identification (Plantix, PlantNet, PictureThis, Merlin Bird ID, iNaturalist) and precision farming (CCMobile App). Finally, it introduces different Creative Commons licenses for open educational resources.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
IoT and 5G in Agriculture: opportunities and challengesSjaak Wolfert
This is a keynote presentation at a workshop that was organized by Marconi Labs Coltano on 'Wireless technologies in agriculture. The presentation describes the general trend of digitalization in agriculture and food production. This is further illustrated by the IoF202 use case 'Big Wine Optimization' that demonstrates use of the Internet of Things (IoT) in agri-food. From this use case an overall, integrated approach to work on digital innovation is deducted which emphasizes both technological as well as organizational aspects. It also briefly introduces the potential use of 5G illustrated by a use case of the weed detection robot using a pre-5G network in The Netherlands. Recommendations to leapfrog development are provided for three distinctive scenarios ranging from 'no smart farming yet applied' to '5G implementation available'. The presentation ends with conclusions, that are also provided in Italian.
Panel Stimulation Slides from MEF GlobalJames Parton
My slides from MEF Global 2011. Note these were conversation stimulation for a panel session, rather than a full blown presentation. There are some interesting numbers in there though.
IRJET - Prototype Android based Real Time Crop Information Collection SystemIRJET Journal
This document describes a prototype Android-based system for real-time crop information collection. The system allows farmers to enter crop and farming practice data directly into a mobile application. Location data is collected using GPS. Data is stored locally and in the cloud for analysis. The goals are to streamline data collection, provide recommendations to farmers, and analyze crop yields in different areas. The system architecture includes modules for location selection, map access, crop selection/forms, photos, and PDF report generation. Future work could expand language support and improve efficient data collection and management to reduce manual work.
The document describes a smartphone-based automated irrigation sensor that uses image processing to estimate soil moisture levels and trigger irrigation when needed. The sensor consists of a smartphone placed in an underground chamber with a controlled LED light. It takes photos of the soil through a glass window, converts them to grayscale, and analyzes pixel colors to calculate the percentage of wet soil. When moisture levels drop below a threshold, the sensor uses Wi-Fi to send the reading to a router node and irrigation system gateway to activate a water pump. The sensor was tested on a pumpkin crop field for 45 days and showed potential as a practical irrigation tool for agriculture.
An iot based smart garden with weather station systemCloudTechnologies
An iot based smart garden with weather station system
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
Revolutionizing the Agriculture Industry With Mobile Applications9 series
The document discusses how mobile applications can revolutionize the agriculture industry. It describes how apps can help farmers with weather forecasting, crop information, farm and land management, transparency and traceability in the supply chain, and more. It also summarizes solutions from 9series that provide farmers tools to simplify daily processes and boost efficiency through features like crop management, machinery management, and customized reports.
IRJET- Crop Yield Prediction and Disease Detection using IoT ApproachIRJET Journal
This document proposes a system to predict crop yields and detect diseases using an IoT approach. The system would use sensors to monitor soil moisture levels, weather conditions, and other environmental factors. This data would be sent to a Raspberry Pi controller and stored in a database. Farmers could access this information through a mobile app to make informed decisions. The system would also automatically predict potential crop diseases based on changing conditions and provide prevention methods to farmers. This precision agriculture approach aims to help farmers save time and resources through better decision making supported by real-time sensor data analysis.
IRJET- IoT Enabled Precision Crop Field Monitoring SystemIRJET Journal
This document describes an IoT-enabled precision crop field monitoring system. Sensors are used to monitor soil moisture levels and temperature in agricultural fields. If temperature or moisture levels exceed thresholds, farmers are alerted via text message or phone call. Data is sent to farmers through GSM technology to allow remote monitoring. The system aims to improve crop yields by closely tracking environmental conditions and automating irrigation when needed. This allows for efficient field monitoring without constant physical presence and helps farmers make decisions to enhance crop quality and productivity.
IRJET- Smart Agriculture using Clustering and IOTIRJET Journal
This document proposes a smart agriculture system using IoT and clustering technology. Sensors would be installed across a farm to monitor environmental parameters like temperature, humidity and soil moisture. The sensor data would be sent to a cloud database via nodes connected to sensors. Farmers could access the data and control irrigation and other devices using a mobile app. The app would also provide weather forecasts, notifications and other services. The goal is to help farmers remotely monitor fields and optimize crop growth with real-time sensor data and automated controls.
The document describes an agricultural machinery monitoring system and a smart greenhouse system. For the agricultural system, it monitors farm equipment operation data like area worked and tillage depth and calculates statistics. The greenhouse system uses IoT sensors to monitor temperature, humidity, light, and other factors and controls the environment automatically to optimize crop growth. Both systems transmit real-time data to cloud-based management platforms and mobile apps for monitoring and analysis.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
This document proposes an IoT-based waste management system to address issues like overflowing dustbins. Sensors would detect fill levels and send alerts. Underground pipes and GPS-enabled trucks optimized for routes would help with waste collection. Real-time monitoring of bin levels and truck locations would improve efficiency. The system aims to save costs and fuel, avoid pollution, create jobs, and optimize waste collection for a cleaner environment.
AppsLib is a mobile application store that saw significant growth between 2011 and 2012, with downloads increasing from 2 billion to 31 billion and applications growing from 14,000 to over 275,000. The number of subscribers also increased substantially over this period from 1 million to over 25 million users.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
Internet of Things ( IOT) in AgricultureAmey Khebade
IOT applications in agriculture allow farmers to more efficiently monitor soil conditions, control irrigation, and track livestock. Sensors can measure soil moisture and temperature to automate irrigation only when needed, reducing water and fertilizer waste. Wireless sensors attached to cows generate health and location data to help farmers. Drones and smart irrigation systems also help optimize crop growth and resource use through remote monitoring and automated controls.
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
This document describes the design and development of an IoT and cloud-based smart farming system for optimal water utilization and better crop yields. The system uses soil moisture sensors to frequently monitor soil moisture levels and uploads the data to the cloud. Based on the soil moisture levels, a motor automatically switches the irrigation on or off to ensure crops are watered only when needed. This reduces human involvement and waste by optimizing water usage according to programmed threshold values. Farmers can access reports on their phone to view farm statistics anytime. The system aims to address issues with traditional irrigation methods and help farmers improve production through smart technology and data-driven water management.
The document discusses the opportunities and challenges of using Internet of Things (IoT) technology in smart agriculture. It describes how IoT can be used to monitor environmental conditions, optimize resource use, and increase crop yields through precision farming. However, most current systems are limited to monitoring and alerts. The document argues that IoT and data science can be used to build predictive systems and time-based forecasts to help address scalability issues and better manage agricultural operations. Key challenges include making solutions affordable and easy to use by farmers.
(1) The document discusses how connecting agriculture to IoT through sensor networks and cloud computing can help farmers monitor crops and share information. (2) It proposes an ontology approach to integrate data collected from multiple sources to overcome semantic heterogeneity issues. (3) The document also describes how wireless sensor networks, IoT, and cloud computing can enable precision agriculture through remote monitoring of soil, crops, and hydrological conditions.
This document lists various online collaboration tools that can be used for agricultural research and education. It provides the names and descriptions of tools for social media sharing (Facebook, Twitter, Flickr, SlideShare), document sharing (Dropbox, Scribd), blogging (Blog), research networking (LinkedIn, ResearchGate), and project management (Asana, Trello). It also discusses tools that use artificial intelligence and internet of things for applications like plant identification (Plantix, PlantNet, PictureThis, Merlin Bird ID, iNaturalist) and precision farming (CCMobile App). Finally, it introduces different Creative Commons licenses for open educational resources.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
IoT and 5G in Agriculture: opportunities and challengesSjaak Wolfert
This is a keynote presentation at a workshop that was organized by Marconi Labs Coltano on 'Wireless technologies in agriculture. The presentation describes the general trend of digitalization in agriculture and food production. This is further illustrated by the IoF202 use case 'Big Wine Optimization' that demonstrates use of the Internet of Things (IoT) in agri-food. From this use case an overall, integrated approach to work on digital innovation is deducted which emphasizes both technological as well as organizational aspects. It also briefly introduces the potential use of 5G illustrated by a use case of the weed detection robot using a pre-5G network in The Netherlands. Recommendations to leapfrog development are provided for three distinctive scenarios ranging from 'no smart farming yet applied' to '5G implementation available'. The presentation ends with conclusions, that are also provided in Italian.
Panel Stimulation Slides from MEF GlobalJames Parton
My slides from MEF Global 2011. Note these were conversation stimulation for a panel session, rather than a full blown presentation. There are some interesting numbers in there though.
IRJET - Prototype Android based Real Time Crop Information Collection SystemIRJET Journal
This document describes a prototype Android-based system for real-time crop information collection. The system allows farmers to enter crop and farming practice data directly into a mobile application. Location data is collected using GPS. Data is stored locally and in the cloud for analysis. The goals are to streamline data collection, provide recommendations to farmers, and analyze crop yields in different areas. The system architecture includes modules for location selection, map access, crop selection/forms, photos, and PDF report generation. Future work could expand language support and improve efficient data collection and management to reduce manual work.
The document describes a smartphone-based automated irrigation sensor that uses image processing to estimate soil moisture levels and trigger irrigation when needed. The sensor consists of a smartphone placed in an underground chamber with a controlled LED light. It takes photos of the soil through a glass window, converts them to grayscale, and analyzes pixel colors to calculate the percentage of wet soil. When moisture levels drop below a threshold, the sensor uses Wi-Fi to send the reading to a router node and irrigation system gateway to activate a water pump. The sensor was tested on a pumpkin crop field for 45 days and showed potential as a practical irrigation tool for agriculture.
An iot based smart garden with weather station systemCloudTechnologies
An iot based smart garden with weather station system
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
Revolutionizing the Agriculture Industry With Mobile Applications9 series
The document discusses how mobile applications can revolutionize the agriculture industry. It describes how apps can help farmers with weather forecasting, crop information, farm and land management, transparency and traceability in the supply chain, and more. It also summarizes solutions from 9series that provide farmers tools to simplify daily processes and boost efficiency through features like crop management, machinery management, and customized reports.
IRJET- Crop Yield Prediction and Disease Detection using IoT ApproachIRJET Journal
This document proposes a system to predict crop yields and detect diseases using an IoT approach. The system would use sensors to monitor soil moisture levels, weather conditions, and other environmental factors. This data would be sent to a Raspberry Pi controller and stored in a database. Farmers could access this information through a mobile app to make informed decisions. The system would also automatically predict potential crop diseases based on changing conditions and provide prevention methods to farmers. This precision agriculture approach aims to help farmers save time and resources through better decision making supported by real-time sensor data analysis.
IRJET- IoT Enabled Precision Crop Field Monitoring SystemIRJET Journal
This document describes an IoT-enabled precision crop field monitoring system. Sensors are used to monitor soil moisture levels and temperature in agricultural fields. If temperature or moisture levels exceed thresholds, farmers are alerted via text message or phone call. Data is sent to farmers through GSM technology to allow remote monitoring. The system aims to improve crop yields by closely tracking environmental conditions and automating irrigation when needed. This allows for efficient field monitoring without constant physical presence and helps farmers make decisions to enhance crop quality and productivity.
IRJET- Smart Agriculture using Clustering and IOTIRJET Journal
This document proposes a smart agriculture system using IoT and clustering technology. Sensors would be installed across a farm to monitor environmental parameters like temperature, humidity and soil moisture. The sensor data would be sent to a cloud database via nodes connected to sensors. Farmers could access the data and control irrigation and other devices using a mobile app. The app would also provide weather forecasts, notifications and other services. The goal is to help farmers remotely monitor fields and optimize crop growth with real-time sensor data and automated controls.
Application of IOT in Smart Agriculturenazimshaikh29
This document summarizes a seminar presentation on applying IoT in smart agriculture. It discusses how IoT connects devices and sensors to improve quality and reduce human intervention. Sensors can be deployed in farms and fields to collect soil moisture, fertility and movement data, which is sent to an application server via Wi-Fi or other IoT devices. This data is then used to automatically control smart irrigation based on soil conditions and detect intrusions. The implementation helps increase crop yields while optimizing water and input use. However, challenges include equipment costs and needing widespread internet coverage to deploy sensors across large areas.
The inclusion of mobile app development in agriculture world has allowed the farmers to work in a more efficient manner as mobile apps enable the farmers to grow better crops, and in turn get better revenues and improve their livelihoods.
8 applications of IOT in agriculture for smart farmingkalyanit6
The document discusses 8 applications of IoT in agriculture for smart farming. It begins by providing background on how IoT has expanded into various industries including agriculture. It then outlines the 8 key applications: 1) climatic conditions monitoring using sensors to track weather data, 2) greenhouse automation using sensors to adjust conditions, 3) precision farming using sensors to evaluate soil conditions, 4) use of agricultural drones to monitor crops and perform tasks, 5) crop management using sensors to monitor crop growth, 6) cattle monitoring and tracking using sensors, 7) end-to-end farm management systems using multiple sensors and analytics, and 8) predictive analytics to anticipate risks, yields, and harvesting needs. The document concludes that IoT applications can help
IBM's agritech platform consists of 3 layers: agricultural specific components, cross-industry components, and solutions provided as a service globally. The platform allows clients and ecosystems to benefit from IBM technologies like blockchain, IoT, weather data and analytics. Food and agriculture companies apply sensors across operations to collect real-time data, which needs context to become valuable insights. IBM provides solutions like smart irrigation, crop forecasts, and macroscopes to improve yields while reducing costs and increasing sustainability.
Based on GSM Automated and Smart Irrigation System Using Androidijtsrd
The greenhouse based modern agriculture industries are the recent requirement in every part of agriculture in India. In this technology, the humidity and temperature of plants are precisely controlled. Due tothe variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniformity at all the places in the farmhouse manually. It is observed that for the first time an android phone-control the Irrigation system, which could give the facilities of maintaining uniform environmental conditions are proposed. The Android Software Development Kit provides the tools and Application Programmable Interface necessary to begin developing applications on the Android platform using the Java programming language. Mobile phones have almost become an integral part of human life serving multiple needs of humans. This application makes use of the GPRS General Packet Radio Service feature of mobile phone as a solution for irrigation control system.GSM Global System for Mobile Communication is used to inform the user about the exact field condition. The information is passed onto the user request in the form of SMS. J. Ravichandran "Based on GSM Automated and Smart Irrigation System Using Android" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18944.pdf
http://www.ijtsrd.com/engineering/other/18944/based-on-gsm-automated-and-smart-irrigation-system-using-android/j-ravichandran
The document discusses the use of artificial intelligence in agriculture. It notes that the global population is expected to reach 10 billion by 2050, requiring a 70% increase in food production. AI can help address this challenge by improving yields, managing resources more efficiently, and automating farming activities. Specifically, the document outlines how AI is used for automated irrigation, remote crop monitoring using computer vision, harvesting of vine crops with multi-sensor data collection, decision support systems, driverless tractors, weed removal robots, and drone applications such as precision fertilizer planning and disease monitoring. The conclusion states that AI can optimize resource use and efficiency to help solve issues of scarcity and labor shortages in agriculture.
This document describes a proposed mobile application called Kisan Seeva that aims to help farmers detect crop diseases, obtain market prices for crops, and rent farming equipment. The application uses a convolutional neural network model to identify diseases by analyzing photos of plant leaves. It also provides updated market pricing data for crops from multiple markets through an API. Additionally, the app allows farmers to rent equipment and tools as needed. The goal is to help farmers identify issues early, make informed decisions, increase crop yields and profits, and support sustainable agriculture practices through the use of technology.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
IOT-ENABLED SMART AGRICULTURE SYSTEM WITH DEEP LEARNING FOR THE IDENTIFICATIO...POOJASHREEC1
The document describes an IOT-enabled smart agriculture system that uses deep learning to identify plant diseases. The system consists of IoT devices like sensors and cameras that collect data on plants and send it to a cloud-based deep learning model. The model analyzes the images to identify diseases and sends the information back to farmers. This allows farmers to remotely monitor crops and take timely action to treat diseases, improving efficiency and reducing crop losses. Deep learning enables accurate identification of diseases even with subtle symptoms and can process large amounts of data quickly. The system is expected to become an essential tool for farmers to advance sustainable agriculture practices.
Farmer’s Plaza: A Cloud-Enabled Mobile and Web Based Application For FarmersIRJET Journal
This document proposes a mobile and web-based application called Farmer's Plaza to help farmers sell their agricultural products. It would allow farmers to register, view research and updates, and connect with potential customers. The application would use cloud computing to enable access from any location. It would have modules for farmer registration, research and development updates, connecting with nurseries and agro shops, and allowing hotels to purchase products directly from farmers. The application would be developed using the Slim PHP framework and cloud services for storage and hosting. It aims to help farmers get fair prices and knowledge to improve their business by facilitating direct connections with customers.
This document proposes a system to improve crop disease detection using machine learning and IoT technologies. It involves collecting crop images and environmental sensor data, training machine learning models to classify diseases, integrating IoT sensors for real-time monitoring, and sending alerts to farmers via mobile apps. The system aims to more accurately and efficiently detect diseases early to help farmers intervene timely and enhance crop yields. Evaluation of the system shows it can accurately detect diseases and provide recommendations to help farmers manage their crops.
The document discusses three systems: (1) an agricultural machinery monitoring system that uses IoT sensors to track farm equipment operations and calculate work areas; (2) a smart greenhouse system that uses sensors to monitor environmental conditions and automatically control the greenhouse environment; (3) an agricultural product visualization business platform that allows farmers to livestream production sites and consumers to view products and order farm fresh goods for delivery.
GSM and IoT based Smart Agriculture monitoring system. Date-12 Jan-2023.pptxMdRayhanTalukder1
This document presents a GSM and IoT-based smart agriculture monitoring system. It consists of sensors to collect data on crop growth and soil conditions, communication modules to transmit sensor data, a data storage and analysis module, and a decision-making module. The system allows remote monitoring of crops and fields, provides real-time data to increase efficiency, and can automate irrigation and fertilization. It concludes the system can improve productivity and yields for farmers.
Similar to Five unique ideas for launching agro-start ups (20)
Introduction to Ant Colony Optimization TechniquesMrinmoy Majumder
Ant Colony Optimization is a metaheuristic algorithm inspired by the foraging behavior of ants. It involves simulating the way ants communicate and cooperate to find the shortest path between their nest and a food source.
History of Ant Colony Optimization
Ant Colony Optimization was first introduced by Marco Dorigo in the early 1990s, drawing inspiration from the pheromone trails that ants use to communicate with each other. Since then, it has been successfully applied to various optimization problems in computer science and engineering. It has proven to be particularly useful in solving routing problems, such as the traveling salesman problem.
Ant Colony Optimisation has been used in a wide range of applications, including routing optimisation, scheduling problems, and vehicle routing. By mimicking the collaborative and decentralised nature of ant colonies, this algorithm has proven to be effective in finding optimal solutions to complex problems.
For example, in routing optimisation, Ant Colony optimisation can be used to find the most efficient path for data packets to travel through a network by simulating how ants find the shortest path to a food source. This can help improve network efficiency and reduce congestion. Additionally, in vehicle routing applications, the algorithm can be used to optimise delivery routes for multiple vehicles by mimicking how ants communicate and coordinate with each other to efficiently explore and exploit different routes. This can ultimately lead to cost savings and faster delivery times.
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Seven Metaheuristics to Learn for your Next Data Science Project
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Ten Ideas to open startups in smart agriculture.pptxMrinmoy Majumder
Smart agriculture, also known as precision agriculture, refers to the integration of advanced technologies and data analytics in agricultural practices to enhance productivity, efficiency, and sustainability. It involves the use of sensors, drones, satellite imagery, and Internet of Things (IoT) devices to collect real-time data on soil conditions, weather patterns, crop growth, and livestock health. By analyzing this data, farmers can make informed decisions regarding irrigation schedules, fertilizer application, pest control measures, and overall resource management. This transformative approach to farming not only maximizes yields but also minimizes environmental impact by optimizing resource utilization and reducing waste.
Startups play a crucial role in the agricultural sector by driving innovation and introducing new technologies that can revolutionize farming practices. These startups bring fresh ideas and solutions to address the challenges faced by farmers, such as increasing productivity, reducing costs, and ensuring sustainable practices. With their agility and entrepreneurial spirit, startups can quickly adapt to market demands and collaborate with farmers to develop customized solutions that meet their specific needs. Additionally, startups can also create job opportunities in rural areas and contribute to economic growth in the agricultural sector.
The purpose of this essay is to explore the role of startups in revolutionizing farming practices and the potential benefits they bring to the agricultural sector. By introducing new technologies and innovative solutions, startups can help farmers overcome challenges and achieve greater productivity while promoting sustainability. Additionally, the essay aims to highlight how startups can contribute to rural development by creating job opportunities and driving economic growth in farming communities.
When was the first bottled drinking water sold.pptxMrinmoy Majumder
Archimedes introduced fluid mechanics around 250 BC, stating the conservation of mass within a control volume for constant-density fluids. Isaac Newton described fluid viscosity in his 1687 Principia. Leonardo da Vinci studied fluid dynamics at Plato's Academy. The Reynolds theory explains the interaction between mass and viscosity in fluid mechanics.
Archimedes introduced fluid mechanics, an ancient Greek concept, around 250 BC. The first law of fluid mechanics, the conservation of mass, states that mass is conserved within a control volume for constant-density fluids. In his 1687 Principia, Isaac Newton, an ancient Greek, described fluid viscosity for the first time. Fluid dynamics can be traced back to Leonardo da Vinci, who studied at Plato's Academy. The Reynolds theory of fluid mechanics explains how mass and viscosity interact.
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Vulnerability Analysis of Wetlands under Changed Climate Scenarios with the h...Mrinmoy Majumder
Casestudy on Vulnerability Analysis of Wetlands under Changed Climate Scenarios with the help Water Cycle and Poly-Neural Networks.
Select the factors from literature and stakeholders survey to identify the most significant factors.
Separate these into two groups :
i)One group is for Reliability Enhancing Factors(R)
ii)Another group is for Risk Enhancing Factors(r)
Find the weightage of importance of each factors of each group with respect the impact of climate change on them. Use the Analytical Hierarchy Process Multi Criteria Decision Making method to determine the weightage. Here Climate Variables like Rainfall and Evapotranspiration can be selected as the criteria and all the factors as the alternative. Determine the weightage one group at a time.
Now place the sum of the value of the Reliability Enhancement Factors, (each multiplied with their weightage of importance) in Numerator and the sum of the value of Risk Enhancing Factor (each multiplied with their weightage of importance) in the Denominator.
To get the complete instructions enroll for the internshp at energyinstyle.website
1. The significance of addressing water and sanitation issues in developing countries: Explore how recent special issue calls for papers on water and sanitation reflect the urgent need to address these challenges in developing countries, where access to clean water and proper sanitation facilities is limited.
2. Examining innovative solutions:
3.Analyze the recent special issue calls for papers on water and sanitation to understand the emphasis on exploring innovative approaches and technologies that can improve access to clean water and sanitation facilities in developing countries.
4. Highlighting the impact on health and well-being: Shed light on the detrimental effects of inadequate water and sanitation on the health and well-being of individuals in developing countries. The special issue calls for papers aim to draw attention to the urgent need for action in order to prevent diseases and improve overall quality of life.
5. Encouraging collaboration and knowledge sharing: Emphasize the importance of collaboration between researchers, policymakers, and practitioners in finding sustainable solutions to water and sanitation challenges. The special issue calls for papers provide a platform for sharing knowledge, experiences, and best practices, fostering a global dialogue on addressing these pressing issues.
6. Promoting sustainable development goals: Discuss how the special issue calls for papers align with the United Nations Sustainable Development Goals
7.Emerging technologies for improving water quality: Discuss the latest research trends highlighted in the most recent special issue calls for papers, focusing on innovative technologies that aim to enhance water treatment processes and ensure better-quality drinking water for communities worldwide.
8. Sustainable approaches
Special Issues are available in different journals
1. Develop a smart irrigation system that utilizes sensors and data analytics to optimize water usage in agricultural fields, reducing water waste and improving crop yields.
2. Create a platform that connects farmers with precision agriculture technologies, such as drones and satellite imagery, to provide real-time monitoring and analysis of crop health and productivity.
3. Design a mobile application that enables farmers to remotely monitor and control their farm operations, including temperature, humidity, and nutrient levels in greenhouse environments.
4. Build an automated livestock monitoring system
In agricultural fields, data analytics is being used to optimise water usage, reduce waste, and increase crop yields. This technology is being combined with precision agriculture technologies to enable farmers to remotely monitor and control their farm operations.
But this article is not about the above ideas of starting startups but something more innovative is discussed.
Explore the latest advancements in hydro and energy informatics with seven ne...Mrinmoy Majumder
These special issue calls provide a unique opportunity for researchers and practitioners to contribute their work and contribute to the growing body of knowledge in hydro and energy informatics. Don't miss out on this chance to showcase your research and make a significant impact in these rapidly evolving fields. Discover cutting-edge research in hydro and energy informatics through seven exciting special issue calls by leading academic journals in the field. These special issue calls offer a platform for experts to share their innovative findings and insights, fostering collaboration and pushing the boundaries of hydro and energy informatics. Embrace this opportunity to stay at the forefront of advancements and contribute to shaping the future of these dynamic disciplines.
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An introductory explanation regarding the water cycle algorihtm.Complete tutorial can be found at www.baiatra.ws.The Water Cycle Algorithm is a nature-inspired optimization algorithm that mimics the movement and transformation of water in the Earth's hydrological cycle. It is based on the principles of evaporation, condensation, precipitation, and infiltration. This algorithm has gained popularity in solving complex optimization problems due to its ability to efficiently explore and exploit search spaces.
This algorithm is another famous metaheuristics or nature-based optimization technique proposed by Ali Sadollah in the year of 2015.
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Participate in completing the course on Optimization at baipatra.ws or an internship on energyinstyle.website
What is the difference between Free and Paid Subscriber of HydroGeek Newslett...Mrinmoy Majumder
Free subscribers to Hydro Geek Newsletters receive access to tutorials, scholarship and job news, calls for papers, start up ideas, old books, and calculators and case studies. Paid subscribers receive unlimited access to all content without any time restrictions. They can also comment on posts and access restricted premium weekly posts. Paid subscribers can announce opportunities once per month while founding members can do so twice per month. Paid subscribers also receive discounts on books, reports, journals, and water resource software.
Ten Most Recognizable Case Studies of Using Outlier.pptxMrinmoy Majumder
Outlier detection is a method used to identify outliers in data, such as power consumption in non-residential buildings, online leakage detection in water distribution systems, and efficient water quality prediction systems.
It is also used in healthcare fraud, coastal water temperature data, and monitoring water quality data.
The method has been applied in various case studies, such as a survey, healthcare fraud, and fault detection for circulating water pumps.
It is also used in acoustic feature-based leakage event detection for large-scale water distribution networks.
Five Ideas for opening startups in Virtual and Green WaterMrinmoy Majumder
Start-ups can offer services for identifying ideal locations for virtual and green water harvesting tanks. Real-time monitoring of water levels is provided, ensuring optimal water management. Water classifiers, developed using water quality sensors, separate green water from virtual water, ensuring automatic detection of water use. Leak detection in irrigation pipelines or water tanks can save thousands of dollars and prevent major disasters. Non-linear AI-based computer models can predict the availability of virtual and green water, ensuring the watershed is well-stocked. These services can help optimize water management and reduce costs associated with traditional water sources.
The National Sea Grant College Program and the Water Power Technologies Office announced projects in Alaska, Guam, and Hawaiʻi that will examine how the adoption of ocean renewable energy could support sustainable energy systems."
"For island and remote communities in the United States, developing resilient electricity infrastructure and energy systems can be fraught with challenges. These locations often rely on expensive, unreliable energy systems that are vulnerable to volatile energy supplies and costs, natural disasters, and impacts from climate change. That’s why the National Oceanic and Atmospheric Administration’s (NOAA) National Sea Grant College Program, in partnership with the U.S. Department of Energy’s (DOE) Water Power Technologies Office, is supporting three projects in Alaska, Guam, and Hawaiʻi that will examine how adoption of ocean renewable energy could support sustainable energy systems. "
"Analysis by the Council on Energy, Environment and Water (CEEW) shows that over 45 percent of districts in India have undergone concerning changes to landscape."
"Cities, in particular, have witnessed disrupting natural drainage patterns and encroachment on vital water bodies such as lakes and ponds that were originally intended to absorb stormwater. For instance, Hyderabad, home to 400 lakes and 48 flood-abso..."
Groundwater is nature's insurance...World Bank Report
"As “nature’s insurance,” groundwater protects food security, reduces poverty, and boosts resilient economic growth, but the resource is threatened by overexploitation and pollution. High-level political action is needed to prioritize groundwater and align the private and social costs of its use. A new World Bank report considers the economic value of groundwater, the costs of misusing it, and the opportunities to leverage it more effectively."
"Revolutionary new Swiss 'water battery' will be one of Europe's main renewable sources of energy"
A Swiss company has built what is being called a giant water battery deep under the Alps that provides an energy storage capacity equivalent to 400,000 electric car batteries. It could be a game-changer.
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Latest Jobs and Scholarship Opportunities
Professor in Food, Water, Energy Nexus
Northeastern University’s College of Arts, Media and Design (CAMD) invites applications for open-rank, tenured or tenure-track positions in the thematic area of Food, Water, Energy Nexus.
South Africa Evaluator (Water, Energy, and/or Agriculture Sectors)
"Dexis is recruiting for an evaluator based in the South Central African region, with experience in the water, energy, and/or food sectors to be part of the WE4F Evaluation Team. This opportunity is a short-term technical assistance (STTA) consultant position and is contingent on USAID approval."
PhD Opportunity // Energy-Water-Nexus - Development of a modelling framework for integrated energy and water planning in water-scarce countries
The Inst
What is next in AI ML Modeling of Water Resource Development.pdfMrinmoy Majumder
In recent years like all the other fields of studies, the application of Artificial Intelligence and Machine Learning (AI&ML) on water resource development projects has increased manifold.
For example :
Sukanya, S., and Sabu Joseph. "Climate change impacts on water resources: An overview." Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (2023): 55-76.
Kommadi, Bhagvan. "AI and ML Applications: 5G and 6G." (2023).
Joseph, Kiran, Ashok K. Sharma, Rudi van Staden, P. L. P. Wasantha, Jason Cotton, and Sharna Small. "Application of Software and Hardware-Based Technologies in Leaks and Burst Detection in Water Pipe Networks: A Literature Review." Water 15, no. 11 (2023): 2046.
Yurtsever, Mustafa, and E. M. E. Ç. Murat. "Potable Water Quality Prediction Using Artificial Intelligence and Machine Learning Algorithms for Better Sustainability." Ege Academic Review 23, no. 2 (2023): 265-278.
However, the uncertainty involved in Hydrologic/Hydraulic or Water Quality Parameters is very hard to simulate, and even with the advent of such cognitive algorithms accuracy and reliability of the models nevertheless lack substance. In this field of study, there is still much to be done. Some interesting objectives can be :
Very Short Term Course on MAUT in Water Resource Management.pdfMrinmoy Majumder
What is MAUT?
“Multi-attribute utility theory (MAUT) combines a class of psychological measurement models and scaling procedures which can be applied to the evaluation of alternatives which have multiple value relevant attributes.”Von Winterfeldt and Fischer (1975).
Some example applications of MAUT in Water Resource Management?
Feeny, David, William Furlong, George W. Torrance, Charles H. Goldsmith, Zenglong Zhu, Sonja DePauw, Margaret Denton, and Michael Boyle. "Multiattribute and single-attribute utility functions for the health utilities index mark 3 system." Medical care 40, no. 2 (2002): 113-128.
Zheng, Yong, and David Xuejun Wang. "Hybrid Multi-Criteria Preference Ranking by Subsorting." arXiv preprint arXiv:2306.11233 (2023).
Lopes, Yuri Gama, and Adiel Teixeira de Almeida. "Assessment of synergies for selecting a project portfolio in the petroleum industry based on a multi-attribute utility function." Journal of Petroleum Science and Engineering 126 (2015): 131-140.
Anand, Adarsh, Mohini Agarwal, Deepti Aggrawal, Laurie Hughes, Parisa Maroufkhani, and Yogesh K. Dwivedi. "Successive generation introduction time for high technological products: an analysis based on different multi-attribute utility functions." Environment, Development and Sustainability (2022): 1-18.
Most Recommended news,products and publications from hydroinformaticsMrinmoy Majumder
This document summarizes the five most cited news articles, products, and publications related to hydroinformatics from June 2022. It also lists the top five most cited papers in hydroinformatics from major publishers like IWA, MDPI, Copernicus, Wiley, and Springer. Finally, it provides additional resources and opportunities related to hydroinformatics, including short courses, books, journals, and tools.
Latest Jobs, Scholarship Opportunities and CFPs in.pptxMrinmoy Majumder
Welcome to another edition of the Hydro Geek Newsletter. In this edition, I have collected some Jobs, Scholarship opportunities, and CFPs in the field of Hydroinformatics Engineering. The list is given next.
Latest Job Opportunites
Landscape Architect@ LOCUS Bengaluru, Karnataka, India
“Looking for passionate landscape architects for multiple typologies across scale, for masterplans, with an eye for aesthetics, functionality, cost, sustainability. Good knowledge of planting, materials, and finishes is required. Should be able to understand and produce design development drawings and detailed working drawings for landscape design and execution. Willingness to commit for longer durations will be an added advantage. Good work ethic, creative and desirous of fitting in a learning environment dealing with multi-scale architectural and planning projects meeting international standards. Send resume and portfolio to future@studiolocus.com.”
Click here to apply.
M. Tech - Entry Level Graduate Engineer at ATKINS @Bengaluru, Karnataka, India
ATKINS is hiring MTech Graduates passing out in 2023 for working in the field of water and environment at Atkins offices in Bangalore, Gurgaon & Mumbai, IN.The job role involves the Design of treatment plants, rivers, Dam and Maritime, Pipelines, and Water retaining structures; Modelling related to water and water infrastructure (storm, wastewater, water); Flood risk assessment, Flood alleviation, Water Quality modeling and related activities. Must have Civil Engg in B.Tech.
Click here to apply
GIS Expert for REWARD Program of Sambodhi Research and Communications@Bhubaneswar, Odisha, India
“This role provides coordinates with partner organizations like the World Bank, the Watershed Development Department (DSCWD), and the Government of Odisha for analyzing and interpreting the pixel-level satellite imagery and GIS data. S/he has to develop and compute indices of vegetation density and photosynthetic activities like NDVI, LAI, FAPAR as well as moisture (LSWI). S/he also has to support the PMU and partners in devising a sampling strategy for baseline based on listing data. The candidate must have worked on innovative techniques for analyzing and interpreting the GIS data (change detection technique). We are looking for candidates with experience working with the government/s on similar assignments in the past.”
Click here to apply
Seven Techniques that you will learn when you enrol forMTech in Hydroinformat...Mrinmoy Majumder
Hydro informatics is a subject that deals with the application of Data Science and ICT to Water Resource Development. The Master’s course is a two years interdisciplinary degree where Civil, Electrical, Mechanical, etc. can apply. Admission is through CCMT 2023 and DASA 2023.
You will learn the following techniques after completion of the course :
Multi-Criteria Decision Making Techniques like AHP, ANP, ELECTRE, PROMETHEE, etc.
Water Related Instruments like River Surveyor, Micro ADV, Multi-Parameter Water Quality Sensor
Decision Tree Algorithms
Geographical Information System and Image Processing
Optimization Techniques including Bio-Inspired Optimization Techniques
Artificial Neural Networks (ANN) including Polynomial Neural Networks
Internet of Things
and their applications in Water Resource Development.
The course also includes one-year real-life project opportunities.
The popularity of AI, machine learning, and other data science technologies has encouraged many aspiring entrepreneurs to launch businesses in these fields.
Water and data science can help to launch successful startups.
Five Case Studies. The detailed newsletter can be accessed at https://hydrogeek.substack.com/
Five Example Application of Hydroinformatics for Optimal Management of Ground...Mrinmoy Majumder
Significant advancements in water research, as well as new observational and computational capabilities and infrastructures (e.g., MOSES, TERENO, VISLAB, JUWELS), present an opportunity to develop the next generation of smart, data- and model-driven water monitoring systems. Software tools are intended to aid scientists worldwide in the analysis of larger and more complex systems, as well as in the exploration of hydrological extreme scenarios and their consequences.
Hydroinformatics is an interdisciplinary field that employs simulations, data science, and decision-making systems to create novel approaches to effectively, sustainably, and equitably manage water in a variety of scenarios.
Groundwater resource management in water supply areas is now an essential task in order to minimize anthropogenic interference and ensure the long-term use of available water.
Below five articles shows the way hydro informatics was used in the optimal management of groundwater :
Click the link for the full article : https://open.substack.com/pub/hydrogeek/p/five-innovative-applications-of-hydroinformatics?r=c8bxy&utm_campaign=post&utm_medium=web
LinkedIn for Your Job Search June 17, 2024Bruce Bennett
This webinar helps you understand and navigate your way through LinkedIn. Topics covered include learning the many elements of your profile, populating your work experience history, and understanding why a profile is more than just a resume. You will be able to identify the different features available on LinkedIn and where to focus your attention. We will teach how to create a job search agent on LinkedIn and explore job applications on LinkedIn.
We recently hosted the much-anticipated Community Skill Builders Workshop during our June online meeting. This event was a culmination of six months of listening to your feedback and crafting solutions to better support your PMI journey. Here’s a look back at what happened and the exciting developments that emerged from our collaborative efforts.
A Gathering of Minds
We were thrilled to see a diverse group of attendees, including local certified PMI trainers and both new and experienced members eager to contribute their perspectives. The workshop was structured into three dynamic discussion sessions, each led by our dedicated membership advocates.
Key Takeaways and Future Directions
The insights and feedback gathered from these discussions were invaluable. Here are some of the key takeaways and the steps we are taking to address them:
• Enhanced Resource Accessibility: We are working on a new, user-friendly resource page that will make it easier for members to access training materials and real-world application guides.
• Structured Mentorship Program: Plans are underway to launch a mentorship program that will connect members with experienced professionals for guidance and support.
• Increased Networking Opportunities: Expect to see more frequent and varied networking events, both virtual and in-person, to help you build connections and foster a sense of community.
Moving Forward
We are committed to turning your feedback into actionable solutions that enhance your PMI journey. This workshop was just the beginning. By actively participating and sharing your experiences, you have helped shape the future of our Chapter’s offerings.
Thank you to everyone who attended and contributed to the success of the Community Skill Builders Workshop. Your engagement and enthusiasm are what make our Chapter strong and vibrant. Stay tuned for updates on the new initiatives and opportunities to get involved. Together, we are building a community that supports and empowers each other on our PMI journeys.
Stay connected, stay engaged, and let’s continue to grow together!
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For more, visit pmissc.org.
Learnings from Successful Jobs SearchersBruce Bennett
Are you interested to know what actions help in a job search? This webinar is the summary of several individuals who discussed their job search journey for others to follow. You will learn there are common actions that helped them succeed in their quest for gainful employment.
Khushi Saini, An Intern from The Sparks Foundationkhushisaini0924
This is my first task as an Talent Acquisition(Human resources) Intern in The Sparks Foundation on Recruitment, article and posts.
I invitr everyone to look into my work and provide me a quick feedback.
Khushi Saini, An Intern from The Sparks Foundation
Five unique ideas for launching agro-start ups
1. Five Ideas for Agro based Start Ups
Crop Yield
Predictor
Product
Features
Technology Used
Business Model
Marketing Model
An App
Can predict Crop yield if
location,soil type and
climatic characteristics is
given.
AI and Multi
Criteria Decision
Making
Subscription
Word of Mouth or
Social Networking
Cultivators
Prospective
Consumers
Crop Health
Monitoring
An App
Can predict and Monitor
Crop health and alert users
about a vulnerability in
advance.
AI and Multi
Criteria Decision
Making
Subscription
Word of Mouth or
Social Networking
Cultivators
Soil Moisture
Detection (SMD)
An App connected to and
optical sensor suspended
above he agriculture field
Can detect soil moisture based on the
images captured by the sensor and can
alert the farmer remotely about the
dryness and need of irrigation or can
auto-irrigate
Image Processing
Subscription
Word of Mouth or
Social Networking
Cultivators
Auto Irrigaion
IoT based irrigation
automation
It enable the SMD App
to control auto irrigation
through some sensors
and IoT
Central
Computation
System connected
to sensors
Subscription
Word of Mouth or
Social Networking
Cultivators
Ground Water
Use and Reuse
Monitoring
App connected to
sensors
Monitor the GWL and
inform the App which
uses it to analyze the
change in GWL
Sensors and logic
to analyze the
change in GWL
Subscription
Word of Mouth or
Social Networking
Cultivators